Base64 image

ImprimirImagenEnBase64

Convert the base64 string to an image. The encoded image in Base64 can be JPG or PNG and may or may not have the "base64,". The image will be converted to black and white. If the width of the image is greater than the maximum width specified, the image will be resized to match. Algorithm refers to the algorithm used when printing an image, which can be 0 for using the Raster Bit Image method, 1 for Bit Image Column Format and 2 for NV Graphics. Newer printers support NV Graphics, older ones support Raster Bit Image and Image Column Format. It is recommended that the user tries all 3 algorithms to find the most suitable one. More information about the algorithms: https://parzibyte.me/blog/2024/01/17/methods-for-printing-images-thermal-printers/ . The dithering parameter indicates whether the Floyd-Steinberg-Dithering algorithm should be applied to the image before it is printed. It is recommended to apply it to pictures (and no illustrations), so that the lighting and details are maintained even when converted to black and white. More information about dithering: https://parzibyte.me/blog/2024/07/28/algoritmo-floyd-steinberg-dithering-golang/

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Arguments

Base64 encoded image (argumentos[0])

Description: Base64 encoded image

Index: 0

Type: string

Example: data:image/png;base64,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

Max width for image. If the real width is greater, it will be reduced (argumentos[1])

Description: Max width for image. If the real width is greater, it will be reduced

Index: 1

Type: float64

Example: 380

Algorithm to convert image to ESC POS bytes (0, 1 o 2) (argumentos[2])

Description: Algorithm to convert image to ESC POS bytes (0, 1 o 2)

Index: 2

Type: float64

Example: 0

Description: Apply dithering algorithm. Recommended on photographies, not illustrations

Index: 3

Type: bool

Example: true

Operation example

Push this operation to the operation list (whose key is operaciones) that you will send with the request.

Its name is ImprimirImagenEnBase64, so it goes on the nombre key. Then put the arguments in order inside the argumentos array.

Don't forget to check every argument type

{
        "nombre": "ImprimirImagenEnBase64",
        "argumentos": [
            "data:image/png;base64,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",
            380,
            0,
            true
        ]
}

Tips

Remember: the operation list (operaciones) can contain infinite operations, this is only one of them

Example (JavaScript client side)

Playground

Try it on the Playground

Plugin not running TypeError: Failed to fetch
Download guide
Select your printer
No printers detected
Install printer guide

Select an operation below

Operation's name: ImprimirImagenEnBase64Convert the base64 string to an image. The encoded image in Base64 can be JPG or PNG and may or may not have the "base64,". The image will be converted to black and white. If the width of the image is greater than the maximum width specified, the image will be resized to match. Algorithm refers to the algorithm used when printing an image, which can be 0 for using the Raster Bit Image method, 1 for Bit Image Column Format and 2 for NV Graphics. Newer printers support NV Graphics, older ones support Raster Bit Image and Image Column Format. It is recommended that the user tries all 3 algorithms to find the most suitable one. More information about the algorithms: https://parzibyte.me/blog/2024/01/17/methods-for-printing-images-thermal-printers/ . The dithering parameter indicates whether the Floyd-Steinberg-Dithering algorithm should be applied to the image before it is printed. It is recommended to apply it to pictures (and no illustrations), so that the lighting and details are maintained even when converted to black and white. More information about dithering: https://parzibyte.me/blog/2024/07/28/algoritmo-floyd-steinberg-dithering-golang/
const payload = {
  "serial": "",
  "nombreImpresora": "",
  "operaciones": [
    {
      "nombre": "ImprimirImagenEnBase64",
      "argumentos": [
        "data:image/png;base64,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",
        380,
        0,
        true
      ]
    }
  ]
};
const httpResponse = await fetch("http://localhost:8000/imprimir", {
    method: "POST",
    body: JSON.stringify(payload)
});
const response = await httpResponse.json();
if (respuesta.ok) {
    console.log("Printed successfully")
} else {
    console.error("Request OK but plugin error: " + respuesta.message);
}

Code example

const payload = {
    "serial": "",
    "nombreImpresora": "Printers_name",
    "operaciones": [
      {
        "nombre": "ImprimirImagenEnBase64",
        "argumentos": [
          "data:image/png;base64,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",
          380,
          0,
          true
        ]
      }
    ]
};
const httpResponse = await fetch("http://localhost:8000/imprimir",
    {
        method: "POST",
        body: JSON.stringify(payload),
    });

const jsonResponse = await httpResponse.json();
if (jsonResponse.ok) {
    // Everything is ok
    console.log("Printed successfully");
} else {
    // Error message is on message property
    console.error(jsonResponse.message)
}

Example JSON (not encoded)

Encode this JSON and send it to http://localhost:8000/imprimir with POST method

{
    "serial": "",
    "nombreImpresora": "Printers_name",
    "operaciones": [
      {
        "nombre": "ImprimirImagenEnBase64",
        "argumentos": [
          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",
          380,
          0,
          true
        ]
      }
    ]
}

Example JSON (encoded)

Send this JSON string to http://localhost:8000/imprimir with POST method

{"serial":"","nombreImpresora":"Printers_name","operaciones":[{"nombre":"ImprimirImagenEnBase64","argumentos":["data:image/png;base64,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",380,0,true]}]}
Last updated: 9/19/2024, 10:47:04 PM